I'm Katyayani Jandhyala, a passionate Data Scientist and Data Engineer with expertise in transforming complex datasets into actionable insights. With over 4 years of professional experience across Retail, Healthcare, Supply Chain, and Manufacturing, I specialize in Machine Learning, Big Data Analytics, and Predictive Modeling to drive impactful business solutions.
- 🌐 Results-driven: Boosted policy renewals and reduced fraudulent claims.
- 📊 Data Engineering Expertise: Designed scalable ETL pipelines using SQL, PySpark, and Hadoop.
- 🤖 Advanced ML/DL Models: Applied techniques like LSTMs, Gradient Boosting, and Isolation Forests to optimize operations.
- 🧠 Visualization Enthusiast: Built real-time dashboards for dynamic decision-making using Tableau and Power BI.
- 💡 Cloud Proficiency: Skilled in AWS, Azure, and GCP ecosystems.
- 🎓 Master of Science in Business Analytics - University of Illinois, Urbana-Champaign (2023)
- 🎓 Bachelor of Technology in Computer Science and Engineering - VIT University (2019)
- Spearheaded predictive modeling projects, improving patient outcomes and resource allocation.
- Reduced fraudulent claims by 28% using advanced ML techniques (SVMs, Isolation Forests).
- Designed ETL pipelines with SQL, PySpark, and GCP, boosting policy renewals by 25%.
- Optimized supply chain processes, cutting lead times and inventory costs using ML models.
- Reduced annual equipment downtime by 30% with predictive maintenance models on AWS.
- Developed recommendation engines, increasing ROI by 30%.
- Conducted demand forecasting, achieving a $1.2M annual reduction in holding costs.
- Delivered 10+ KPI dashboards using Tableau and Power BI for real-time decision-making.
- Conducted A/B testing on e-commerce data, redefining product strategies to boost user engagement.
- Streamlined workflows and facilitated collaboration across 12+ teams with JIRA and GitHub.
- Executive Sales Dashboard: Empowered CXOs with actionable insights for data-driven decisions.
- UltimAI Skincare Recommendation System: Personalized skincare solutions using collaborative filtering.
- Real-Time Data Engineering on Azure: Accelerated analytics using Apache Kafka and Power BI.
